Multi-Armed Bandits Courses and Certifications

VinAI

Adversarially Robust Stochastic Multi-Armed Bandits

Explore adversarially robust algorithms for multi-armed bandits, bridging stochastic and adversarial settings. Learn about recent breakthroughs in practical all-purpose algorithms for optimal experimental design.

• YouTube
• 45 minutes
• On-Demand
• Free Video

TensorFlow

Inside TensorFlow - TF-Agents

Explore TF-Agents, TensorFlow's reinforcement learning library, with experts demonstrating its capabilities, architecture, and applications in game playing, bandits, and recommender systems.

• YouTube
• 50 minutes
• On-Demand
• Free Video

Association for Computing Machinery (ACM)

Exploration with Limited Memory - Streaming Algorithms for Coin Tossing, Noisy Comparisons, and Multi-Armed Bandits

Explore streaming algorithms for coin tossing, noisy comparisons, and multi-armed bandits, focusing on limited memory scenarios and efficient problem-solving techniques.

• YouTube
• 24 minutes
• On-Demand
• Free Video

IEEE Signal Processing Society

Game Theoretic Learning and Spectrum Management - Part 2

Explore game theory in signal processing, covering multi-arm bandits, adaptive algorithms, and reinforcement learning for spectrum management and network optimization.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Association for Computing Machinery (ACM)

Corporate Social Responsibility via Multi-Armed Bandits

Explore how multi-armed bandit algorithms can be applied to corporate social responsibility, balancing profit maximization with societal impact in decision-making processes.

• YouTube
• 17 minutes
• On-Demand
• Conference Talk

IEEE

Collaborative Top Distribution Identifications with Limited Interaction

Explore collaborative learning strategies for efficient multi-armed bandit problem-solving, focusing on top-m identifications with limited interactions and error reduction techniques.

• YouTube
• 25 minutes
• On-Demand
• Conference Talk

Pascal Poupart

CS885: Multi-Armed Bandits

Explore multi-armed bandits, stochastic bandits, and online optimization strategies. Learn about exploration-exploitation trade-offs, regret, and epsilon-greedy approaches in practical applications.

• YouTube
• 57 minutes
• On-Demand
• Free Video

Churchill CompSci Talks

How Slot Machines Are Advancing the State of the Art in Computer Go AI

Explore Monte Carlo Tree Search in computer Go AI, covering its advantages, UCB1 strategy, and recent refinements like AMAF/RAVE, with insights into ongoing research topics.

• YouTube
• 46 minutes
• On-Demand
• Free Video

Institute for Advanced Study

Provably Efficient Reinforcement Learning with Linear Function Approximation - Chi Jin

Explore efficient reinforcement learning with linear function approximation, covering key concepts like sample efficiency, value-based algorithms, and exploration in multi-armed bandits and linear MDPs.

• YouTube
• 28 minutes
• On-Demand
• Free Video

International Centre for Theoretical Sciences

Advances in Risk-Aware Multi-Armed Bandit Problems - Lecture 3

Explore risk-aware multi-armed bandit problems with Vincent Tan. Learn advanced techniques for balancing exploration and exploitation in uncertain decision-making scenarios.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Video

International Centre for Theoretical Sciences

Almost Optimal Variance-Constrained Best Arm Identification - Lecture 2

Explores advanced techniques in variance-constrained best arm identification, focusing on optimal algorithms and theoretical analysis for efficient decision-making in multi-armed bandit problems.

• YouTube
• 46 minutes
• On-Demand
• Free Video

Paul G. Allen School

Learning With and From People - Collaborative Consumption Systems and User Engagement

Exploring collaborative consumption systems and incentivizing user behavior for improved system effectiveness, with focus on shared mobility and online marketplaces.

• YouTube
• 58 minutes
• On-Demand
• Free Video

Paul G. Allen School

Bandits IV - Advanced Techniques in Multi-Armed Bandit Algorithms

Explore advanced bandit algorithms and their applications in machine learning with Kevin Jamieson from the University of Washington.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Paul G. Allen School

Bandits II - Advanced Algorithms and Applications

Explore advanced bandit algorithms and their applications in decision-making under uncertainty with Kevin Jamieson from the University of Washington.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Dave Churchill

Introduction to Artificial Intelligence - Bandit Algorithms - Lecture 15

Explore bandit algorithms in AI, covering algorithmic techniques for modern problem-solving. Learn to apply these concepts to simple games and enhance decision-making skills.

• YouTube
• 1 hour 8 minutes
• On-Demand
• Free Video